COVID-19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions

Although scholars in management recognize the value of harnessing big data to understand, predict and respond to future events, there remains little or very limited overview of how various analytics techniques can be harnessed to provide the basis for guiding scholars in studying contemporary management topics and global grand challenges raised by the COVID-19 pandemic. In this Methodology Corner, we present a review of the methodological innovations in studying big data analytics and how they can be better utilized to examine contemporary organizational issues. We provide insights on methods in descriptive/diagnostic, predictive and prescriptive analytics, and how they can be leveraged to study 'black swan' events such as the COVID-19-related global crisis and its aftermath's implications for managers and policymakers.

Automated summary

The article reviews the methodological innovations in studying big data analytics and discusses how they can be better utilized to examine contemporary organizational issues, especially 'black swan' events like the COVID-19 global crisis.